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https://issues.apache.org/jira/browse/SOLR-12890?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16948886#comment-16948886
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Doug Turnbull commented on SOLR-12890:
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Hi just wanted to share one approach using random projections on top of the
inverted index I put out there. You can see the approach documented, which uses
the strengths in the inverted index in terms of performance.
https://github.com/o19s/hangry
I agree this is a serious priority for Solr, as in relevance situations it's
becoming a 'must have'
> Vector Search in Solr (Umbrella Issue)
> --------------------------------------
>
> Key: SOLR-12890
> URL: https://issues.apache.org/jira/browse/SOLR-12890
> Project: Solr
> Issue Type: New Feature
> Reporter: mosh
> Priority: Major
>
> We have recently come across a need to index documents containing vectors
> using solr, and have even worked on a small POC. We used an URP to calculate
> the LSH(we chose to use the superbit algorithm, but the code is designed in a
> way the algorithm picked can be easily chagned), and stored the vector in
> either sparse or dense forms, in a binary field.
> Perhaps an addition of an LSH URP in conjunction with a query parser that
> uses the same properties to calculate LSH(or maybe ktree, or some other
> algorithm all together) should be considered as a Solr feature?
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